Senior AI Product Owner - R01566192

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

We are seeking a Senior Product Owner with a strong AI and analytics background to work onsite in Santa Ana, CA, leading AI‑driven product initiatives for a strategic client in the construction and built‑environment domain.

This role is highly client‑facing and delivery‑oriented, requiring close collaboration with construction SMEs, business stakeholders, and engineering teams. The ideal candidate brings strong product ownership skills, hands‑on understanding of AI/ML solutions, and nice‑to‑have domain exposure to Division 8 (doors, frames, hardware, glazing systems).

 

Key Responsibilities

Product Ownership & Delivery

• Own the product backlog, roadmap, and sprint priorities for AI and analytics initiatives.

• Translate business needs into detailed user stories, acceptance criteria, and product requirements.

• Drive sprint planning, backlog grooming, demos, and release readiness.

• Ensure predictable delivery, quality outcomes, and alignment with client priorities.

AI & Analytics Enablement

• Lead AI‑enabled use cases including:

    • Predictive and operational analytics

    • Machine Learning solutions

    • Computer Vision (drawings, images, site inspections)

    • Document intelligence, OCR, and GenAI / LLM‑based applications

• Collaborate closely with data science and engineering teams on solution design, experimentation, and production deployment.

• Support AI lifecycle governance, performance tracking, and continuous improvement.

Construction Domain Engagement

• Work onsite with client stakeholders across construction operations, estimation, procurement, and project delivery.

• Apply construction domain context to shape meaningful AI and analytics features.

• Leverage Division 8 knowledge (doors, frames, hardware, glazing, access systems) where applicable to inform product decisions.

• Bridge communication between construction SMEs and technical delivery teams.

Client & Stakeholder Management

• Act as the primary onsite point of contact for product‑related discussions.

• Facilitate workshops, requirement discussions, and solution walkthroughs.

• Provide regular updates on progress, risks, and dependencies